Device actions based on device power

ABSTRACT

In one embodiment, a server computing device receives a message indicating a current notification mode of a mobile computing device of a user. The received message comprises information from one or more sensors of the mobile computing device. The current notification mode is based at least in part on the information from the one or more sensors of the mobile computing device. The activity of the user is determined based at least in part on sensor information of the mobile computing device. The current notification mode of the mobile computing device is determined based on the user activity or the information from the one or more sensors of the mobile computing device. The server computing device determines whether to transmit a communication to the mobile computing device based on the current notification mode of the mobile computing device.

PRIORITY

This application is a continuation under U.S.C. § 120 of U.S. patentapplication Ser. No. 14/619,918, filed on 11 Feb. 2015, which is acontinuation under U.S.C. § 120 of U.S. Pat. No. 8,989,818, filed on 17Aug. 2012, which is a continuation-in-part under U.S.C. § 120 of U.S.Pat. No. 8,954,100, filed on 4 Nov. 2011.

TECHNICAL FIELD

This disclosure generally relates to data communication.

BACKGROUND

When two computing devices are connected to a network, data may betransmitted between the two devices over the network using one or moresuitable network protocols. A network can be the Internet, a corporateintranet, a virtual private network, a local area network, a wirelesslocal area network, a cellular network, a wide area network, ametropolitan area network, or a combination of two or more suchnetworks.

A social networking system, such as a social networking website, enablesits users to interact with it and with each other through the system.The social networking system may create and store a record, oftenreferred to as a user profile, in connection with the a user. The userprofile may include a user's demographic information, communicationchannel information, and personal interests. The social networkingsystem may also create and store a record of a user's relationships withother users in the social networking system (e.g., social graph), aswell as provide services (e.g., wall-posts, photo-sharing, eventorganization, messaging, games, or advertisements) to facilitate socialinteraction between users in the social networking system. The socialnetworking system may transmit contents and messages related to itsservices to a user's client device over a network.

SUMMARY OF PARTICULAR EMBODIMENTS

In one embodiment, factors or operating conditions related to the energyconsumption of a mobile device are determined locally at the mobiledevice. These factors or conditions may include the device's batterylevel, the activity level of a user of the device, the signal strengthat the device, or the time of day. A pre-determined device state thatcorresponds to these factors or operating conditions is identified. Forexample, the device state may be a napping mode (where notifications arepushed to the device from a server every few minutes), a sleep mode(where notifications are only sent when a user requests them), or atrickle mode (where notifications are pushed in real-time). Based onthis pre-determined device state, an action related to energyconsumption by the mobile device is taken. For example, the brightnessof the display of the mobile device may be changed, a vibration mode ofthe mobile device may be enabled or disabled, or a volume level may beadjusted. The mobile device may wake from the napping or sleep modes insome embodiments only for notifications or messages of a certain type orfrom a certain source. Additionally, the user of the mobile device maycustomize settings related to the pre-determined device states.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 illustrates an example network environment.

FIG. 2 illustrates an example method of managing message transmissionfrom a server to a mobile device based on the mobile device's userinterface mode.

FIG. 3 illustrates examples of user interface modes, device operatingmodes, and notification modes.

FIG. 3A illustrates example radio connection states.

FIG. 3B illustrates an example method for determining a device actionbased on a device operating condition.

FIG. 4 illustrates an example method of managing message transmissionfrom a server to a mobile device.

FIG. 4A illustrates an example method of transmitting a message queue.

FIG. 4B illustrates another example method of transmitting a messagequeue.

FIG. 5 illustrates an example block diagram for computing a measure ofaffinity for users in a social networking system.

FIG. 6 illustrates an example social networking environment.

FIG. 7 illustrates an example method for computing a measure of affinityfor a user based on a request.

FIG. 8 illustrates an example computer system.

FIG. 9 illustrates an example mobile device platform.

DESCRIPTION OF EXAMPLE EMBODIMENTS

A social network, in general, is a social structure made up of entities,such as individuals or organizations, that are connected by one or moretypes of interdependency or relationships, such as friendship, kinship,common interest, financial exchange, dislike, or relationships ofbeliefs, knowledge, or prestige. A social-networking system may createand store a record in connection with a user and may also create andstore a record of a user's relationships with other users in thesocial-networking system (e.g., in the form of a social graph). Somesocial-networking systems exist on the Internet in the form ofsocial-networking websites. Such social-networking websites enable theirmembers, who are commonly referred to as website users, to performvarious social activities. For example, the social-networking websiteenables its users to communicate with their friends via emails, instantmessages, or blog postings, organize social events, share photos,receive news of their friends or interesting events, play games,organize events, etc.

In particular embodiments, entities of a social network (including, forexample, individuals, organizations, locations, or events) may haveassociated web pages within a social-networking website. Each of theseweb pages may contain information related to its associated entity. Forexample, a web page for a user of the social-networking system orwebsite, which may be referred to as a user profile page, may containinformation about the user including, for example photographs of theuser, information about the user's interests, or the user's academic orprofessional background. Similarly, the profile page for an event, alocation, or an organization may contain information about the event(e.g., invitees, time, and place of the event), the location (e.g.,pictures of the location or a map of the location), or the organization(e.g., information about the organization and its members or the contactinformation of the organization). The profile page for a user or otherentity may be accessible to other users or entities of thesocial-networking system depending, for example, on privacy settings forthe profile page. For example, the social-networking system may allowusers to post information or messages (such as, for example, userstatus, comments, photographs, or multimedia files) known as “posts” onanother user or entity's profile page in a section of the page known asa “wall.” In particular embodiments, the wall of a profile page of anentity may be a pre-determined section of a profile page that isaccessible to other entities of the social network. In particularembodiments, the wall of a profile page may be organized in adynamically arranged, chronological manner, and this type of wall may bereferred to as a “timeline” for an entity of the social network. Thesocial networking system may transmit contents and messages related toits services to a user's client device over a network.

In data communication, a server may transmit one or more messages to aclient device over a computer network. For example, a server systemrunning email exchange software may transmit via the Internet emailmessages to a user's client device (e.g., a desktop computer, a mobilephone, or a tablet computer). The user can access the email messagesreceived at the client device by using an email program running on themobile device.

FIG. 1 illustrates an example network environment in which one or moremessages may be transmitted from a server to a mobile device. Inparticular embodiments, server 120 may communicate with mobile device122 and transmit one or more messages to mobile device 122 throughnetwork cloud 121. Server 120 may comprise one or more computers orcomputing devices. In particular embodiments, server 120 may be operablyconnected to one or more message services 112. Each message service 112can be one or more computers or computing devices configured to transfermessages to one or more users. For example and without limitation, amessage can be an email, an instant message (IM), a Short MessageService (SMS) message, a Multimedia Messaging Service (MIMS) message, anews item, an advertisement, a system update message, or anycombinations of those. For example, a message can be a notificationindicating a request to establish a real-time communication session(e.g., a phone call or a video call). For example, server 120 may accessmessage services 112 for one or more outgoing messages for a user, andtransmit the one or more outgoing messages to the user's mobile device122 via network cloud 121.

Network cloud 121 generally represents a network or collection ofnetworks (such as the Internet, a corporate intranet, a virtual privatenetwork, a local area network, a wireless local area network, a cellularnetwork, a wide area network, a metropolitan area network, or acombination of two or more such networks) over which server 120 maycommunicate with mobile device 122.

Mobile device 122 is generally a portable computer or computing deviceincluding functionality for communicating (e.g., remotely) over anetwork. For example, mobile device 122 can be a mobile phone, a tabletcomputer, a laptop computer, a handheld game console, an electronic bookreader, or any other suitable portable device. Mobile device 122 mayexecute one or more client applications, such as a web browser or aspecial-purpose client application, to access and view content andmessages transmitted from server 120 over network cloud 121. Inparticular embodiments, mobile device 122 may connect to network cloud121 via a base station 131 of a cellular network (e.g., a Global Systemfor Mobile Communications or GSM cellular network or a Long TermEvolution or LTE network). In particular embodiments, mobile device 122may connect to network cloud 121 via a wireless access point 132 of aWI-FI network.

A mobile device (e.g., a mobile phone, a tablet computer) often runssolely on its battery. Meanwhile, receiving messages over a wirelessnetwork can decrease (e.g., by the mobile device's wireless transceiverunit) a substantial amount of energy stored in the mobile device'sbattery. With an abundance of messages (such as described above)available for a user to consume at the user's mobile device, it isdesirable to manage message transmission to the user's mobile device inorder to conserve the mobile device's battery power. Particularembodiments herein describe methods of managing transmitting messages toa user's mobile device. More specifically, particular embodiments managetransmitting messages to a user's mobile device based on the user'sinteraction with the mobile device. For example, particular embodimentscan transmit one or more messages in real-time to a user's mobile deviceif the user is actively interacting with the mobile device (e.g., theuser is accessing one or more applications running on the mobiledevice). For example, particular embodiments can transmit one or moremessages to the user's mobile device only as the user requests, if theuser is not actively interacting with the mobile device while the mobiledevice is not near the user (e.g., the user may be asleep).

A mobile device may have one or more operating conditions associatedwith it. These operating conditions may include, for example and withoutlimitation, user interface modes and device operating modes, and theoperating conditions may relate to energy consumption of the mobiledevice. In particular embodiments, these operating conditions may bedynamic or changing, e.g., with the energy consumption of the mobiledevice. FIG. 2 illustrates an example method of managing messagetransmission from a server to a mobile device based on the mobiledevice's user interface mode. The example method of FIG. 2 can beimplemented by a mode manager process running on one or more processorsof a mobile device of a user. For example, the mobile device can be amobile phone, a tablet computer, a laptop computer, a handheld gameconsole, an electronic book reader, or any other suitable portabledevice. In particular embodiments, server 120 may communicate andtransmit messages to the mobile device via network cloud 121 (e.g., theInternet), as illustrated in FIG. 1. In particular embodiments, themobile device may connect to network cloud 121 via a base station 131 ofa cellular network and/or an access point 132 of a WI-FI network, asillustrated in FIG. 1. In particular embodiments, the mode managerprocess may determine a notification mode based on the mobile device'suser interface mode (201). A notification mode may be a state of themobile device and may, in particular embodiments, be a pre-determinedstate of the mobile device. In particular embodiments, the mode managerprocess may transmit to one or more computing devices (e.g., server 120)a message comprising the notification mode, causing the one or morecomputing devices to transmit one or more messages to the mobile devicebased on the notification mode (202).

FIG. 3 illustrates examples of user interface modes, device operatingmodes, and notification modes for the example method of FIG. 2. Inparticular embodiments, the mode manager process may determine a tricklenotification mode based on a current user interface mode indicating thatthe user is actively interacting with the mobile device. As an example,the mode manager process may determine that the user is activelyinteracting with the mobile device if the user is touching atouch-sensitive portion of the mobile device including, for example, atouch screen or a touch pad. As another example, the mode managerprocess may determine that the user is actively interacting with themobile device if the user is interacting with one or more applicationsrunning on the mobile device. The mode manager process may determinewhether the user is interacting with a particular application bydetermining whether the particular application's user interface receivesuser input or receives user interface focus within a pre-determined timeduration (e.g., within the last 20 seconds). For example, the modemanager process can determine whether the particular application's userinterface receives user input (or receives user interface focus) withina pre-determined time duration by accessing the mobile device'soperating system or subscribing as a listener to user input events ofthe particular application.

For example, the mode manager process may determine whether the user isinteracting with a message reader application running on the mobiledevice. For example, the mode manager process may determine whether theuser is interacting with an application other than a message reader onthe mobile device. A message reader can be a special-purpose clientapplication. A message reader can also be a web browser displaying oneor more structured documents (e.g., a web page, an iFrame) for accessingone or more messages (e.g., email web interface or social networking webuser interface). In particular embodiments, the mode manager process maydetermine a trickle notification mode (310) if the current userinterface mode is that the user is interacting with a message readerapplication running on the mobile device (301) or that the user isinteracting with an application other than a message reader on themobile device (302), as illustrated in FIG. 3. In particularembodiments, the mode manager process may transmit to server 120 amessage indicating the trickle notification mode, causing server 120 totransmit one or more messages to the mobile device in real-time. Forexample, in response to the message indicating the trickle notificationmode, a server-side process running on server 120 can access one or moremessage services 112 for one or more outgoing message for the user, andtransmit the one or more outgoing messages to the user in real-time(e.g., whenever a new outgoing message is available).

In particular embodiments, the mode manager process may determine anapping notification mode based on a current user interface modeindicating that the user is not actively interacting with the mobiledevice while the mobile device is near the user—e.g., the mobile devicecan be in the user's pocket while the user walks or drives a car. Themode manager process may determine that the user is not interacting withthe mobile device if no application running on the mobile devicereceives user input (e.g., a user touch on a touch-sensitive portion ofthe mobile device) or user input focus within a pre-determined timeduration (e.g., within the last 3 minutes). In other embodiments, themode manager process may determine that the user is not interacting withthe mobile device if the mobile device's display is in a lower-power orlower-usage state (e.g., the display is powered down, or a screen saveror a screen lock program is active). The mode manager can determine thatthe mobile device is near the user if the mobile device is in motion(e.g., indicating that the user is carrying the mobile device). The modemanager process can determine whether the mobile device is in motion byaccessing a device driver of an accelerometer of the mobile device.

In particular embodiments, the mode manager process may determine anapping notification mode (311) if the user is not interacting with themobile device while the mobile device is in motion (303), as illustratedin FIG. 3. In particular embodiments, the mode manager process maytransmit to server 120 a message indicating the napping notificationmode, causing server 120 to transmit one or more messages to the mobiledevice at a pre-determined time interval (e.g., every 10 minutes). Forexample, in response to the message indicating the napping notificationmode, a server-side process running on server 120 can access one or moremessage services 112 for one or more outgoing messages for the user, andtransmit the one or more outgoing messages to the mobile device every 10minutes.

In particular embodiments, the mode manager process may determine asleep notification mode based on a current user interface modeindicating that the user is not actively interacting with the mobiledevice while the mobile device is stationary for a pre-determined timeduration (e.g., the mobile device is stationary for the last 15minutes). For example, the user may be asleep. As described earlier, themode manager process can determine that the user is not interacting withthe mobile device if no application running on the mobile devicereceives user input (e.g., a user touch on a touch-sensitive portion ofthe mobile device) or user input focus within a pre-determined timeduration. The mode manager process can also determine that the user isnot interacting with the mobile device if the mobile device's display isin a lower-power or lower-usage state. The mode manager process candetermine whether the mobile device is stationary or idle by accessing adevice driver of an accelerometer of the mobile device.

In particular embodiments, the mode manager process may determine asleep notification mode (312) if the user is not interacting with themobile device while the mobile device is stationary (304), asillustrated in FIG. 3. In particular embodiments, the mode managerprocess may transmit to server 120 a message indicating the sleepnotification mode, causing server 120 to transmit one or more messagesto the mobile device as the user requests. That is, server 120 does nottransmit messages to the mobile device unless the user requests toaccess messages. For example, the user may access a message readerapplication (described earlier), causing the mode manager process totransmit to server 120 a message indicating a trickle notification mode(310), as described earlier. In response to the message indicating thetrickle notification mode, a server-side process running on server 120can access one or more message services 112 for one or more outgoingmessage for the user, and transmit the one or more outgoing messages tothe user.

The mode manager process may determine notification modes based ondifferent combinations of user interface modes, device operating modes,or any other type of operating conditions of the mobile deviceincluding, for example, any sensory input data available to the mobiledevice. The mode manager process may determine operating conditions ornotification modes in real time, and may determine them locally at themobile device. Additionally, the notification modes of the mobile devicemay be dynamic or changing. For example, the mode manager process maydetermine a napping notification mode if the user is interacting with anapplication other than a message reader application on the mobile device(302), or if the user is not interacting with the mobile device whilethe mobile device is in motion (303). The mode manager process maydetermine a trickle notification mode if the user is interacting with amessage reader application running on the mobile device (301), if theuser is interacting with any other application on the mobile device(302), or if the device has a high battery level or a strong cellularsignal. The mode manager process may determine a sleep notification modeif the user is not interacting with the mobile device while the mobiledevice is stationary (304) or in motion (303).

Furthermore, the mode manager process may determine a notification modebased on the mobile device's device operating mode, including, forexample, the device's power state. For example, the mode manager processcan access a device driver for the mobile device's battery and determinethat the battery level is low (e.g., less than 20% charged). In order toconserve battery energy, mode manager process may determine a sleepnotification mode (312) if the battery level is low (305), asillustrated in FIG. 3. In other embodiments, the mode manager processmay determine a napping notification mode or a trickle notification modeif the battery level is high (e.g., greater than 90% charged). Asanother example, the mode manager process may determine a tricklenotification mode if the battery is being charged. The mode managerprocess may also determine a notification mode based on a combination ofuser interface modes or device operating modes. For example, the modemanager process may determine a trickle notification mode if the batterylevel is high, even if the user is not interacting with the mobiledevice while the mobile device is in motion (303).

The mode manager process may also determine a notification mode based onthe mobile device's current radio network state, another example of adevice operating mode of the mobile device. For example, the modemanager process can access a device driver of the mobile device'swireless communication subsystem and determine a signal strength of thecurrent radio network connection (e.g., 4 out of 5 bars). For example, aradio network connection with a weak signal strength (e.g., 1 out of 5bars) may not be efficient (thus consuming more energy) in datacommunication due to packet loss. The mode manager process may determinea sleep notification mode (312) if the current radio networkconnection's signal strength is low (306), as illustrated in FIG. 3. Themode manager process may determine a trickle notification mode (310) ifthe current radio network connection's signal strength is high (e.g., 4out of 5 bars). Additionally, in other embodiments, the mode managerprocess may access a device driver of the mobile device's wirelesscommunication subsystem, determine a type of radio network for thecurrent radio network connection (e.g., GSM or LTE), and determine anotification mode based on the type of radio network. For example, aGSM-type radio network connection may consume less energy than anLTE-type radio network connection, so the mode manager process maydetermine a trickle notification mode (310) if the type of radio networkis GSM and a napping notification mode (311) if the type of radionetwork is LTE. The mode manager process may also determine anotification mode based on a combination of user interface modes ordevice operating modes. For example, the mode manager process maydetermine a trickle notification mode (310) if the type of radio networkis LTE and the battery level (or cellular signal) is high, or the modemanager process may determine a napping notification mode (311) if thetype of radio network is GSM and the battery level (or cellular signal)is low. As another example, the mode manager process may determine asleep notification mode if the user is not interacting with the mobiledevice while the mobile device is in motion (303) and either the batteryis low (305) or the cellular signal is weak (306).

The mode manager process may also determine a notification mode based onsensor data available to the mobile device, another example of a deviceoperating mode of the mobile device. As an example, sensor data may begathered from one or more sensors of sensor subsystems 918 at the mobiledevice. These sensors may include, by way of example and withoutlimitation, light sensors (e.g., to determine ambient light levels),proximity sensors (e.g., to determine the presence of nearby objects),gyroscopes (e.g., to determine orientation), accelerometers (e.g., todetermine speed or acceleration), altimeters (e.g., to determinealtitude positioning), motion sensors (e.g., to determine motion),temperature sensors (e.g., to measure ambient temperature), biometricsensors (e.g., for fingerprint reading), or GPS sensors (e.g., forlocation positioning). For example, if the mobile device is determinedbased on accelerometer measurements to be traveling at 60 miles per hourand also, based on GPS sensor measurements, to be traveling along ahighway route, the mode manager process may determine a nappingnotification mode (311), as a user of the mobile device may likely bedriving. As another example, if the ambient light level is low and theGPS sensor measurements indicate that the mobile device is located atthe home of a user of the mobile device, the mode manager process maydetermine a sleep notification mode (312), as a user of the mobiledevice may likely be sleeping. The mode manager process may alsodetermine a notification mode based on a combination of user interfacemodes or device operating modes (e.g., determined from sensor data).

The mode manager process may also determine a notification mode based onthe time of day (e.g., at the location of the mobile device), anotherexample of a device operating mode of the mobile device. For example, ifthe time of day is between midnight and 5 a.m., the mode manager processmay determine a sleep notification mode (312), as a user of the mobiledevice may likely be asleep. As another example, if the time of day isbetween 10 p.m. and midnight, the mode manager process may determine anapping notification mode (311), as a user of the mobile device may notbe sleeping but may not be checking his or her mobile device asfrequently. The mode manager process may also determine a notificationmode based on a combination of user interface modes or device operatingmodes. As another example, if the time of day is between midnight and 5a.m. and the battery level is high, the mode manager process maydetermine a napping notification mode (311).

Particular embodiments may further change the mobile device's radionetwork state based on a notification mode. For didactic purposes, FIG.3A illustrates Radio Resource Control (RRC) connection modes for GSM andevolved UMTS (Universal Mobile Telecommunication System) TerrestrialRadio Access Network (E-UTRAN) cellular network connections. Thisdisclosure contemplates any combination of radio network states of anytype of cellular network. In the example of FIG. 3A, after power-on, amobile device stays in IDLE state (350) until the mobile deviceestablishes a connection with a base station by transitioning to DCH(Dedicated Channel) connected mode (351) or FACH (Forward AccessChannel) connected mode (353). In addition to DCH connected mode andFACH connected mode, the mobile device can also connect to the basestation in PCH (Paging Channel) connected mode (352). Among theconnected modes, DCH connected mode can have the highest data bandwidthand highest energy consumption (e.g., 2 MB/sec, 200 mA). FACH connectedmode has lower data bandwidth but consumes about 50% of the energy ofDCH connected mode (e.g., 4 kB/sec, 100 mA). PCH connected mode has zerodata bandwidth but consumes about 1-2% of the energy of DCH connectedmode (e.g., no data, 2 mA). The mobile device can transition from ahigher power and data bandwidth connected state to a lower power anddata bandwidth connected state (e.g., 360, 361, and 362 of FIG. 3A) toconserve energy consumption while remaining in connection with a basestation. Transitions 360, 361, and 362 can be triggered by using atimer. For example, the base station may transition the radio connectionwith the mobile device from a higher power and data bandwidth connectedstate to a lower power and data bandwidth connected state 10 secondsafter the mobile device completes a data transfer session. The mobiledevice can also actively transfer the radio connection with the basestation from a higher power and data bandwidth connected state to alower power and data bandwidth connected state, without waiting for thetimer to expire, by sending to the base station a request fortransitioning to a lower power and bandwidth connected state (e.g., afast dormancy request described in CR3483R2 in 3GPP TS 25.331 Release8).

In particular embodiments, the mode manager process may determine asecond radio network state based on the notification mode. In particularembodiments, the mode manager process may transmit to a cellular basestation a request for the second radio network state, causing the basestation to transition a connection between the mobile device and thecellular base station to the second radio network state. For example,the mode manager process may determine a sleep notification mode (312)based on a user interface mode (304), as illustrated in FIG. 3. Sinceduring a sleep notification mode, server 120 does not send messages tothe mobile device unless the user requests, it is desirable to have alower power and data bandwidth mode to conserve the mobile device'sbattery life. For example, the mode manager process can transmit to basestation 131 a request for IDLE connected mode, causing base station 131to transition the radio connection between the mobile device and basestation 131 to IDLE connected mode (322). Similarly, for example, themode manager process may determine a napping notification mode (311)based on a user interface mode (303), as illustrated in FIG. 3. The modemanager process can transmit to base station 131 a request for PCHconnected mode, causing base station 131 to transition the radioconnection between the mobile device and base station 131 to PCHconnected mode (321). As yet another example, the mode manager processmay determine a trickle notification mode (310) based on a userinterface mode (301 or 302), as illustrated in FIG. 3. The mode managerprocess can transmit to base station 131 a request for FACH connectedmode, causing base station 131 to transition the radio connectionbetween the mobile device and base station 131 to FACH connected mode(320).

In particular embodiments, the mode manager process may determine anaction for the mobile device to take based on the device's operatingconditions including operating mode, notification mode, or anycombination of the two. As an example, the mode manager process maydetermine to change a brightness of a display of the mobile device(e.g., lower the brightness to lower energy consumption) if, forexample, the battery level is low or if the device is in a nappingnotification mode. The mode manager process may determine to change athreshold idle time before turning off the display of the mobile device(e.g., increase the threshold idle time) if, for example, the batterylevel is high or if the device is in a trickle notification mode. Themode manager process may determine to enable or disable a vibrator ofthe mobile device. For example, if the device is in a tricklenotification mode and the battery level is low, the vibrator may bedisabled (to lower energy consumption by the vibrator), but if thedevice is in a napping notification mode and the battery level is high,the vibrator may be enabled. Similarly, the mode manager process maydetermine to change a volume level of the mobile device to decrease orallow more energy consumption by the mobile device. For example, if thedevice is in a trickle notification mode and the battery level is low,the volume level may be lowered. The mode manager process may determineto enable or disable one or more sounds of the mobile device. Forexample, if the battery level is low, certain ringtones (e.g., entireclips of songs that consume larger amounts of energy) may be disabled.In particular embodiments, the action for the mobile device to take mayinclude waking the mobile device from a sleep or napping notificationmode, entering a trickle notification mode, or changing from onenotification mode to another, generally.

FIG. 3B illustrates an example method for determining a mobile deviceaction based on the device's operating mode, notification mode, or anyother operating condition of the device (e.g., associated with thedevice's energy consumption). The method may begin at step 315, whereone or more operating conditions of the mobile device (e.g., related toenergy consumption by the mobile device) are determined (e.g., in realtime or locally at the mobile device). At step 325, a pre-determineddevice state (e.g., a notification mode) that corresponds to theoperating conditions of the mobile device is identified. At step 335, anaction for the mobile device to take is determined, based at least inpart on the pre-determined device state, and the action may be relatedto energy consumption by the mobile device. Particular embodiments mayrepeat one or more steps of the method of FIG. 3B, where appropriate.Although this disclosure describes and illustrates particular steps ofthe method of FIG. 3B as occurring in a particular order, thisdisclosure contemplates any suitable steps of the method of FIG. 3Boccurring in any suitable order. Moreover, although this disclosuredescribes and illustrates particular components, devices, or systemscarrying out particular steps of the method of FIG. 3B, this disclosurecontemplates any suitable combination of any suitable components,devices, or systems carrying out any suitable steps of the method ofFIG. 3B.

In particular embodiments, a user of the mobile device may customizewhat types of notification modes are entered or what types of actionsare taken at the mobile device. The user may customize what types andwhat levels of operating conditions (e.g., user interface modes ordevice operating modes) lead the mobile device to enter a particularnotification mode or take a particular actions. As an example, a usermay set a custom preference that any time the battery level is at orbelow 60% of the full battery charge, the mobile device enters a nappingnotification mode. As another example, a user may set a custompreference that if the user is not interacting with the mobile devicewhile the mobile device is in motion (e.g., in the user's pocket), thedisplay of the mobile device is turned off after three seconds (e.g., tosave energy consumption). User customization may occur via settings onthe mobile device itself (e.g., via a mobile device interface) or viasettings on a server of a social-networking website (e.g., via a browserinterface).

As described earlier, particular embodiments may determine anotification mode for a mobile device based on the mobile device's userinterface mode, device operating mode, or any combination of thesemodes. Particular embodiments may transmit to a server a messageindicating the notification mode, causing the server to transmitmessages to the mobile device based on the notification mode. Forexample, the server can transmit messages to the mobile device inreal-time based on if the notification mode is a trickle notificationmode. For example, the server can transmit messages to the mobile deviceevery 10 minutes if the notification mode is a napping notificationmode. In addition to transmitting outgoing messages to the mobile devicebased on the notification mode, particular embodiments may transmitoutgoing messages to the mobile device further based on a ranking of theoutgoing messages, as illustrated in FIG. 4.

In particular embodiments, server 120 may receive from the user's mobiledevice a message comprising a notification mode (e.g., a tricklenotification mode or a napping notification mode) of the mobile device(401). In particular embodiments, server 120 may receive from the user'smobile device a message comprising the mobile device's user interfacemode, health, or operating mode, such as the battery life, time of day,signal strength, wireless network availability (WiFi or 3G/4G), whetheror not the device is charging, etc., and server 120 may determine anotification mode for the mobile device. In particular embodiments, themobile device may transmit the factors that determine the notificationmode of the mobile device, for example variables 301-306, to server 120.In particular embodiments, server 120 determines the notification modeof the mobile device, and transmits an instruction to the mobile deviceto adjust its notification mode. In particular embodiments, the mobiledevice determines its own notification mode but still transmitsinformation (e.g., a flag) regarding its notification mode, systemhealth, or user interface mode to server 120.

The message may further comprise an identifier (e.g., a user name, aphone number, an email address) of the user. In response to the message,a server-side process running on server 120 may access one or moremessage services 112 indicating one or more outgoing messages for theuser (402). The server-side process may access one or more messageservices 112 for information for the one or more outgoing messages. Forexample, information for an outgoing message may comprise one or moreidentifiers (e.g., a user name, a phone number, an email address) of theoutgoing message's originator.

In particular embodiments, the server-side process may determine a valuefor each of the one or more outgoing messages (403). In particularembodiments, the server-side process may determine a value for each ofthe one or more outgoing messages based on the content of each of theone or more outgoing messages. For example, the server-side process mayassign a higher value to a message having content indicating urgency(e.g., the words “urgent,” “important,” or “emergency”). In particularembodiments, the server-side process may determine a value for each ofthe one or more outgoing messages based on a location of the mobiledevice (e.g., determined from a GPS sensor on the mobile device) orother sensor data of the mobile device. For example, if the server-sideprocess receives location information from the mobile device (e.g., GPScoordinates) indicating the mobile device is near a restaurant where thefriend of a user of the mobile device is currently located (e.g.,checked in), an outgoing message indicating the location of the friendmay be assigned a higher value (due to the user's proximity to therestaurant and friend) than it might otherwise be assigned. As describedfurther below, this higher value may allow the outgoing messageindicating the location of the friend to be delivered to the mobiledevice (due to the user's proximity to the restaurant and friend) whenit might otherwise have not been immediately delivered. In particularembodiments, the server-side process may determine a value for each ofthe one or more outgoing messages based on an affinity or socialrelevancy between each of the one or more outgoing messages and theuser—i.e., based on an affinity between each outgoing message'soriginator and the user. Outgoing messages such as notifications ofposts in specific groups relevant to the user, replies to the user's ownposts, or replies to the user's own comments on a post may all be scoredusing affinity. For example, the server-side process may assign each ofthe one or more outgoing messages an affinity score. For example, theserver-side process can assign an affinity score of 1.0 to an outgoingmessage if the outgoing message's originator is the user's immediatefamily member (e.g., parent, sibling), or an affinity score of 0.9 ifthe outgoing message's originator frequently communicates with the user,or an affinity score of 0.7 if the outgoing message's originator is theuser's first-degree social contact in a social graph of a socialnetworking system. Interaction between users on a social networkingsystem, such as chats, wall posts, emails, and the like, can also beused in scoring affinities between users of the social networkingsystem. Methods of measuring affinity scoring are described later.

Particular embodiments may transmit more outgoing messages to the mobiledevice if the user is interacting with the mobile device, whiletransmitting fewer outgoing messages to the mobile device if the user isnot actively interacting with the mobile device. In particularembodiments, the server-side process may transmit at least one outgoingmessage to the mobile device based on the notification mode andrespective values of the one or more outgoing messages (404). Forexample, in response to a message from the mobile device indicating atrickle notification mode (e.g., the user is interacting with the mobiledevice), the server-side process can select outgoing messages withaffinity scores greater than a pre-determined threshold (e.g., 0.4), andtransmit the selected outgoing messages to the mobile device. Incontrast, for example, in response to a message from the mobile deviceindicating a napping notification mode (e.g., the user is notinteracting with the mobile device while the mobile device is inmotion), the server-side process can select only high-affinity outgoingmessages (e.g., messages most relevant to the user) by using a higherthreshold (e.g., 0.8), and then transmit the selected high-affinityoutgoing messages to the mobile device. In particular embodiments, themobile device may only be responsive (e.g., may only wake up from anapping or sleep notification mode) to messages of a certain type ormessages from a certain source. This may be managed by the mode managerprocess running on the mobile device. In particular embodiments, thismay be accomplished via the setting of pre-determined thresholds foraffinity scores (e.g., either by the server-side process or by themobile device and communicated to the server-side process). For example,if the mobile device will only wake up from a sleep or nappingnotification mode for a message from an immediate family member or for amessage with content indicating urgency, the pre-determined thresholdfor transmitting an outgoing message to the mobile device (and wakingthe mobile device) may be 1.0, which may be a high affinity score.

In addition to transmitting to the mobile device outgoing messages withthe highest affinity scores, particular embodiments may store one ormore remaining outgoing messages in a queue and transmit them to themobile device at a later time. In particular embodiments, theserver-side process may select and store in a queue one or more of theone or more outgoing messages based on respective values of the one ormore outgoing messages and the notification mode. For example, theserver-side process can select outgoing messages with affinity scores ofless than 0.4 and store the selected message in a queue if thenotification mode is a trickle notification mode. For example, theserver-side process can select outgoing messages with affinity scores ofless than 0.8 and store the selected messages in a queue if thenotification mode is a napping notification mode.

The server-side process may transmit at least one of the queued outgoingmessages to the mobile device at a later time. For example, theserver-side process may transmit at least one queued outgoing message tothe mobile device at a pre-determined time interval (e.g., every 30minutes). For example, the server-side process may transmit at least onequeued outgoing message to the mobile device when a size of the queue isgreater than a pre-determined threshold (e.g., when the queue has morethan 20 queued messages). For example, the server-side process maytransmit at least one queued message to the mobile device when areal-time outgoing message (e.g., a phone call) is transmitted to themobile device. For example, the server-side process may transmit atleast one queued outgoing message to the mobile device when a highaffinity outgoing message (e.g., a message with an affinity scoregreater than 0.8) is transmitted to the mobile device. That is, theserver-side process can piggy-back at least one queued outgoing messagewith another real-time or high-affinity outgoing message.

FIG. 4A illustrates an example method of queuing and transmittingmessages to the mobile device based on the mobile device's reportednotification mode, or alternatively, the mobile device's reported systemhealth. At Step 405, one or more server-side processes on server 120 mayreceive an outgoing message from message services 112. As previouslydisclosed, the message may be any type of notification or communicationto be transmitted to the mobile device, including but not limited to:instant messages, friend requests and acceptances thereof, another userwriting on the wall of the user, another user tagging a photo of theuser, check-ins from nearby users, status messages from the user'sfriends, and the like.

At Step 406, the one or more server-side processes on server 120 assigna score to the outgoing message. As previously disclosed, the score maybe assigned based on an affinity score. In particular embodiments, theaffinity score may be a predictor of the relative degree of interest theuser has in such a message. In such embodiments, a predictor functionmay be a machine learning algorithm based on the previous historicalengagement of the user with messages of the same type. Message affinityscoring is described in greater detail with reference to FIGS. 5 and 7.In particular embodiments, messages may be assigned values based on apredetermined categorization of messages. For example, particularmessages may be deemed more important to all users, such as instantmessages, wall posts, or friend requests, whereas other messages may beof significantly less importance. In particular embodiments, messagesare divided into real-time messages and non-real-time messages. Thisdisclosure contemplates any suitable method of calculating messagescores for individual outgoing messages.

At Step 407, the one or more server-side processes on server 120 add thenewly scored message to an outgoing message queue and add the score to arunning sum of all the message scores in the message queue. Thus thetotal queue score is incremented by the score calculated for theparticular message in Step 407.

At Step 408, the one or more server-side processes on server 120determine whether the sum of all message scores in the outgoing messagequeue exceeds a predetermined threshold. The threshold may be adjustedin real-time by the one or more server-side processes based on thenotification mode message, or alternatively, the indication of systemhealth, received from the mobile device. In particular embodiments,higher power consumption notification modes may translate to a“healthier” device, and the threshold value may be decreased. Forexample, if the mobile device reports that it has full battery, isplugged in, and is connected to a WiFi network, the threshold may be setto zero, resulting in the server-side processes on server 120 pushingmessages to the mobile device substantially in real-time. At the otherextreme, if the mobile device reports that it has under 10% battery lifeand is on the edge of a 3G network, the one or more server-sideprocesses on server 120 may increase the threshold to an extremely highnumber, for example, 100. In particular embodiments, reception of amessage comprising a notification mode or mobile device status triggersan interrupt which updates the threshold and forces the process of FIG.4A to jump to Step 408. Therefore, in such embodiments, if a devicereports its “health” has increased, for example, by moving from an areawith only 3G access to an area having WiFi access, the server-sideprocess on server 120 adjusts the threshold value for the mobile devicedownward, and performs a check to determine if the queue should betransmitted. Thus, a change in mobile device health or notification modemay trigger transmission of the queue, even in the absence of a newmessage.

If the one or more server-side processes on server 120 determine at Step408 that the sum of the scores in the outgoing message queue exceeds thethreshold value, it transmits all the messages in the outgoing messagequeue to the mobile device, empties the queue, and clears the sum. Ifthe sum of the message scores in the outgoing message queue fails toexceed the threshold in Step 408, the process returns to Step 405, whereit waits the reception of another outgoing message to the mobile device.

FIG. 4B illustrates another example method of piggybacking lessimportant message transmission with the transmission of more importantmessages. Like the method of FIG. 4A, the method of FIG. 4B adjusts thetransmission of outgoing messages based on the relative importance of anoutgoing message and the notification mode or device health of themobile device.

At Step 410, one or more server-side processes on server 120 receive anoutgoing message destined for a mobile device. At Step 411, theserver-side processes on server 120 calculate a timeout for the message.In particular embodiments, the timeout of a message is inverselyproportional to the determined importance, and inversely related to therelative health or notification mode of the mobile device. For example,certain messages may be so important that their timeout value may bezero (that is, they are transmitted to the user immediately andsubstantially in real-time). For example, an instant message marked“urgent” may have a timeout value of zero. At the other extreme, anextremely low value status message from a distant friend may have aninfinite timeout value; the message will never be sent on its own. Inparticular embodiments, the timeout value for each outgoing message maybe determined by affinity scoring as described below, with the timeoutinversely related to the affinity of the message. The timeout values foreach individual message are also inversely related to the device healthor notification mode. Thus, if the device is in a promiscuous (highmessage) notification mode, such as DCH mode, the timeout values forindividual messages are shortened by a predetermined factor. Conversely,if the mobile device is in a low message transmission mode, or reportspoor health (again, for didactic purposes, low battery life or lownetwork connectivity), the timeout period for each message may bemultiplied by a predetermined scale factor greater than 1. Thisdisclosure contemplates any suitable method of calculating timeouts forindividual outgoing messages.

At Step 412, the outgoing message is stored in a message queue. Inparticular embodiments, the one or more server-side processes on server120 maintain a separate timer for each of the outgoing messages in theoutgoing message queue. In particular embodiments, the server-sideprocess maintains a single system timer, and stores a countdown valueand start time for each message in the outgoing message queue. Thisdisclosure contemplates any suitable method of determining whether anyindividual outgoing message has timed out.

At Step 413, the one or more server-side processes on server 120determine whether any message in the outgoing message queue has timedout. In particular embodiments, the timeout of any message in theoutgoing message queue triggers an interrupt process that immediatelybranches the method of FIG. 4B to Step 414. If no messages have timedout, the process returns to Step 410, where it awaits reception of a newmessage to be transmitted to the outgoing device.

At Step 414, if any of the messages in the outgoing message queue timesout, the one or more server-side processes in server 120 transmit allthe messages in the outgoing message queue to the mobile device andempty the queue. The process then repeats itself with the reception ofthe next outgoing message destined for the mobile device. Theaforementioned methods merely illustrate two example server-side messagetransmission algorithms. This disclosure contemplates other methodsbased on message importance, user affinity to the message, devicetransmission mode, or device health. As a general principle, the mobiledevice is aware of the resource cost of receiving a message, based onthe various factors described with reference to FIG. 3, (battery life,user interaction, network connection, and the like), whereas the serveris aware of the value of the information or message to be transmitted tothe user (based on social factors and empirical engagement). After beinginformed of the resource cost by the mobile device, the server may baseits decision on whether to transmit a message to the mobile device ifthe value exceeds the cost. This disclosure contemplates any suitablemethod of calculating, or distributing the calculation of, the resourcecost associated with receiving a piece of information. This disclosurecontemplates any suitable method of calculating, or distributing thecalculation of, the subjective value of a piece of information to aparticular user or the objective value of a piece of information to allusers.

In one embodiment, a process running in a social networking environmentrequests a measure of affinity for a particular user from a module thatimplements an affinity function. The module, in one implementation,computes the requested measure of affinity by combining (e.g., adding) aweighted set of predictor functions, where each predictor functionpredicts whether the user will perform a different action. The weightsmay be provided by the process that requests the measure of affinity,which allows the requesting process to weight the predictor functionsdifferently. In this sense, the affinity function is tunable by therequesting process for its own purpose. In one implementation,affinities may be computed for the purposes of computing an affinityscore of an outgoing message to an intended recipient.

The predictor functions may predict whether a user will perform aparticular action based on the user's interest in the action. Forexample, a predictor function may be derived based on a user'shistorical activity (such as interacting with other users utilizing thesocial networking system functionality discussed above, for example).Additionally, the predictor function may include a decay factor thatcauses the strength of the signal provided by the user's historicalactivity to decay with time. The predictor functions may predict anynumber of actions, which may be within or outside of the socialnetworking system. For example, these actions may include various typesof a user's communications, such as messages, posting of content, andcommenting on content; various types of a user's observation actions,such as viewing profiles of other connections and viewing photos andcontent posted by other connections; and various types of coincidenceinformation about two or more users, such as being tagged in the samephotograph, checked in at the same location, and attending the sameevent. A predictor function may be determined using a machine learningalgorithms trained on historical activity and past user responses ordata farmed from users by exposing them to various options and measuringresponses.

To predict the likely actions a user may take in a given situation, anyprocess on the social networking system or outside may request a measureof affinity for a user by providing a set of weights. The measure ofaffinity may reflect the user's interest in other users, content,actions, advertisements, or any other objects in the social networkingsystem. The weights may be binary or, more generally, any real number.In one implementation, messages intended for a communications device ofa subject user that are transmitted or intermediated by the socialnetworking system, for example, may be processed to compute an affinitybetween the subject user and the message. The affinity value can beappended to the message prior to transmission to the communicationsdevice. In other implementations, a process hosted on the communicationsdevice may access the affinity module to request the measure ofaffinity. In some implementations, the communications device may requestaffinities between the subject user of the communications device and oneor more other users identified in a contacts database of the subjectuser (stored locally on the communications device or remotely on thesocial networking system). Revised affinity values can be obtainedduring subsequent synchronization processes. Communications device mayuse these affinity values for messages from the respective users. Inother implementations, the communications device may monitorinteractions locally and compute affinity values locally.

FIG. 5 is a block diagram of a function for computing a measure ofaffinity for users in a social networking system. To compute a measureof affinity 615 that indicates a set of likely actions a user may wantto take in any given situation, weights 105 are applied to predictorfunctions 610 and then combined to obtain a measure of affinity 615.Although FIG. 5 shows three predictor functions 610, any number ofpredictor functions can be employed in other embodiments. Additionally,in the embodiment of FIG. 5, the weighted predictor functions 610 arecombined linearly. In different embodiments, other forms of combinationmay be used, including harmonic means, mean squares, and geometricmeans. Additionally, multiple measures of affinity 615 with varyingweights 605 may be computed before predicting a user's actions.

The weights 605 of the affinity function enable it to be used by variousprocesses in the social networking system environment for differentpurposes. For example, in a process that provides advertisements withsocial endorsements from a viewer's friends, an ad algorithm may use themeasure of affinity 615 function to determine which of a user'sconnections to mention in the social endorsement or what type of actionsto mention in the endorsement. The measure of affinity 615 may then bebased on those predictor functions 610 that show how interested the useris in viewing the content posted by another user as well as one or morepredictor functions 610 that show how interested the user is in variousactions that may be mentioned in the social endorsement. The adalgorithm would thus provide relatively large weights for thesepredictor functions 610 so that the resulting measure of affinity wouldmore accurately determine which social endorsements would be moreinteresting to the viewing user. The ad algorithm would then select thesocial endorsement using the resulting measure of affinity, therebyincreasing the likelihood of conversion of the advertisement.

As a second example, in a process for a messaging application thatintermediates communications between users, a social algorithm may usethe measure of affinity 615 function to determine what level of interesta user may have in a message sent by a particular sending user. Themeasure of affinity 615 for this purpose may be based on predictorfunctions 610 that show how interested the user is in viewing thecontent posted by the user's connections and/or how often the users sendmessages to one another in general, as well as one or more predictorfunctions 610 that show how interested the user is posting or accessingdifferent types of messages. Accordingly, the social algorithm wouldweight these predictor functions 610 relatively high so that theresulting measure of affinity would accurately determine which messageswould be more interesting to the viewing user. Because of the highlytunable nature of the affinity function, enabled by the weightedpredictor functions 610, it can be used for a number of differentpurposes.

FIG. 6 is a high-level block diagram of an environment of a socialnetworking system, according to one embodiment. FIG. 6 illustrates asocial networking system 700, a user device 702, and an external server704 connected by a network 708. The social graph 718 stores theconnections that each user has with other users of the social networkingsystem 100. The social graph 718 may also store second-orderconnections, in some embodiments. The connections may thus be direct orindirect. For example, if user A is a first-order connection of user Bbut not of user C, and B is a first-order connection of C, then C is asecond-order connection of A on the social graph 718.

The action store 740 stores actions that have been performed by theusers of the social networking system 700, along with an indication ofthe time associated with those actions and references to any objectsrelated to the actions. Additionally, the action store 740 may storestatistics for specified categories of actions. For example, for a givenuser the action store 740 may contain the number of wall posts in 30days by a user, messages sent by the user, number of photos posted bythe user in 30 days and number of distinct users that received theuser's comments in 30 days. For a given connection between two users,user A and user B, the action store 740 may contain actions such as thenumber of profile page views from A to B, the number of photo page viewsfrom A to B, the number of messages from A to B, and the number of timesA and B were tagged in the same photo, and these actions may beassociated with a timestamp or may be filtered by a cutoff (e.g., 24hours, 90 days, etc.). The actions recorded in the action store 740 maybe farmed actions, which are performed by a user in response to thesocial networking system 700 providing suggested choices of actions tothe user.

The predictor module 720 is responsible for computing a set predictorfunctions 610, which predict whether a user will perform a set ofcorresponding actions. As discussed above, each predictor function 610may be representative of a user's interest in a particular actionassociated with the predictor function 610. The historical activity of auser may be used as a signal of a user's future interest in the sameactivity. In some embodiments, the predictor function 610 is generatedusing a machine learned algorithm that is trained using a user'shistorical activity associated with an action. The predictor module 720thus provides a predictor function 610 for each of a set of actions,where a predictor function 610 may take as an input the a user'shistorical activity and then outputs a measure of the likelihood thatthe user will engage in the corresponding activity.

In some embodiments, one or more of the predictor functions 610 may usea decay factor in which the strength of the signal from a user'shistorical activity decays with time. Moreover, different predictorfunctions 610 may decay the historical activity at different rates. Forexample, some types of user activity, like adding a new connection,indicate a more persistent interest than other types of activity thatindicate a more ephemeral interest, like commenting on another user'sstatus. Therefore, the predictor functions 610 may decay the effect ofhistorical activity based on an understanding about how that activitymay become less relevant over the passage of time. Various decaymechanisms may be used for this purpose. For example, a predictorfunction 610 may use a mathematical function, such as an exponentialdecay, to decay the statistics about a user behavior. In anotherembodiment, the decay is implemented by selecting only those statisticsabout a user behavior that occurred within a specific window of time,such as 24 hours or 30 days.

In one embodiment, a predictor function 610 is realized as a ratio oftwo affine functions as shown in equation (1). The numerator anddenominator affine functions take statistics of the user's historicalactivity as inputs.

$\begin{matrix}{P = \frac{a_{0} + {a_{1}x_{1}} + {a_{2}x_{2}} + \ldots + {a_{n}x_{n}}}{b_{0} + {b_{1}x_{n + 1}} + \ldots + {b_{m}x_{n + m}}}} & (1)\end{matrix}$

where

P is the predictor function 610;

a_(i) for i=0, 1, 2, . . . , N are the coefficients in the numeratoraffine function;

b_(i) for i=0, 1, 2, . . . , M are the coefficients in the denominatoraffine function; and

x_(i) for i=1, 2, . . . , N+M are the statistics on a user's historicalactivity related to the predictor function P.

The denominator affine function can represent a normalization of thenumerator affine function. For example, the number of comments made by auser may be normalized by, among other statistics, the number of timesthe user has been active on the social networking system 700. Inparticular, by altering b_(i) for i=0, 1, 2, . . . , M the normalizationpattern can be changed. In some embodiments, some or all of thecoefficients, a_(i) for i=0, 1, 2, . . . , N and b_(i) for i=0, 1, 2, .. . , M, are determined through machine learning, which may beimplemented by the predictor module 720. In a particular embodiment, asupervised machine learning algorithm is used with the training dataobtained through farming, by providing a statistically significantnumber of users several options and monitoring their response. Inanother embodiment, the supervised machine learning algorithm is trainedentirely based on historical user activity and past responses to choicesof actions. The predictor functions 610 may also be non-linear. Anexample embodiment implements a predictor function 610 for a familywhere the predictor function 610 includes an ‘if-then’ construct for themembers of the family—i.e., the predictor function 610 is computeddifferently depending on whether it is being computed for the parents orthe children.

Some predictor functions 610 in the social networking system 700 maypredict actions related to a user's communication in the socialnetworking system 700. The statistics specifically related tocommunications may include broadcast data and communication data.Broadcast data may include, for example, the number of photos posted bythe user in a given time period, the number of posts via applications bythe user in a given time period, and any other communication that theuser has posted or otherwise distributed to a group of other users.Communication data may include, for example, the number of likes fromthe user in a given time period, number of comments posted by user in agiven time period, and any other information about the user'scommunication activities.

Similarly, some predictor functions 610 in the social networking system700 may predict actions related to a user's observation of content inthe social networking system 700. The statistics specifically related toobservation may include, for example, the number of profile page viewsby the user of another user in a given time period, the number of photoviews by the user in a given time period, the number of views of anadvertisement containing a social endorsement in a given time period,and any other activity involving the viewing of content by the user.

Finally, some predictor functions 610 in the social networking system700 may predict actions related to a user's coincidence with one or moreother users of the social networking system. The statistics specificallyrelated to coincidence may include, for example, a rate at which two ormore users have been tagged in the same photograph, have checked in atthe same location, or have confirmed (e.g., via RSVP) that they will beattending the same event, and any other activity involving an action orobject in the social networking system related to multiple users.

The affinity module 760 provides a measure of affinity 615 based oninput data about the user from the social networking system 700 usingthe predictor functions 610. In the embodiment of FIG. 5, the affinitymodule 760 sums the predictor functions linearly as shown in equation(2). However, other implementations are equally feasible.A=β ₀+β₁ P ₁+β₁ P ₂+ . . . β₅ P _(S)   (2)

where

-   -   A is the measure of affinity 615 requested;    -   P_(i) for i=0, 1, 2, . . . , s are the s predictor functions 610        in the social networking system 700; and    -   ß_(i) for i=1, 2, . . . , s are the weights 605 assigned to the        s predictor functions 610 in the social networking system 100.

FIG. 7 illustrates an embodiment of a method for computing a measure ofaffinity 615 for a user based on a request. The social networking system700 first receives 771 a request from a process for a measure ofaffinity 615 for a user along with the weights 605 to be assigned to thevarious predictor functions 610. The request may include the message forwhich an affinity score is desired or one or more attributes extractedfrom the message. The social networking system 700 then computes 772 thepredictor functions 610 for the user in the predictor module 772. Thepredictor functions 610 previously computed are combined to determine773 an overall measure of affinity 615, which is then provided 774 tothe requesting process.

FIG. 8 illustrates an example computer system 800, which may be usedwith some embodiments. This disclosure contemplates any suitable numberof computer systems 800. This disclosure contemplates computer system800 taking any suitable physical form. As example and not by way oflimitation, computer system 800 may be an embedded computer system, asystem-on-chip (SOC), a desktop computer system, a mobile computersystem, a game console, a mainframe, a mesh of computer systems, aserver, or a combination of two or more of these. Where appropriate,computer system 800 may include one or more computer systems 800; beunitary or distributed; span multiple locations; span multiple machines;or reside in a cloud, which may include one or more cloud components inone or more networks. Where appropriate, one or more computer systems800 may perform without substantial spatial or temporal limitation oneor more steps of one or more methods described or illustrated herein. Asan example and not by way of limitation, one or more computer systems800 may perform in real time or in batch mode one or more steps of oneor more methods described or illustrated herein. One or more computersystems 800 may perform at different times or at different locations oneor more steps of one or more methods described or illustrated herein,where appropriate.

In particular embodiments, computer system 800 includes a processor 802,memory 804, storage 806, an input/output (I/O) interface 808, acommunication interface 810, and a bus 812. In particular embodiments,processor 802 includes hardware for executing instructions, such asthose making up a computer program. As an example and not by way oflimitation, to execute instructions, processor 802 may retrieve (orfetch) the instructions from an internal register, an internal cache,memory 804, or storage 806; decode and execute them; and then write oneor more results to an internal register, an internal cache, memory 804,or storage 806. In particular embodiments, processor 802 may include oneor more internal caches for data, instructions, or addresses. Inparticular embodiments, memory 804 includes main memory for storinginstructions for processor 802 to execute or data for processor 802 tooperate on. As an example and not by way of limitation, computer system800 may load instructions from storage 806 to memory 804. Processor 802may then load the instructions from memory 804 to an internal registeror internal cache. To execute the instructions, processor 802 mayretrieve the instructions from the internal register or internal cacheand decode them. During or after execution of the instructions,processor 802 may write one or more results (which may be intermediateor final results) to the internal register or internal cache. Processor802 may then write one or more of those results to memory 804. One ormore memory buses (which may each include an address bus and a data bus)may couple processor 802 to memory 804. Bus 812 may include one or morememory buses, as described below. In particular embodiments, one or morememory management units (MMUs) reside between processor 802 and memory804 and facilitate accesses to memory 804 requested by processor 802. Inparticular embodiments, memory 804 includes random access memory (RAM).This RAM may be volatile memory, where appropriate Where appropriate,this RAM may be dynamic RAM (DRAM) or static RAM (SRAM).

In particular embodiments, storage 806 includes mass storage for data orinstructions. As an example and not by way of limitation, storage 806may include an HDD, a floppy disk drive, flash memory, an optical disc,a magneto-optical disc, magnetic tape, or a Universal Serial Bus (USB)drive or a combination of two or more of these. Storage 806 may includeremovable or non-removable (or fixed) media, where appropriate. Storage806 may be internal or external to computer system 800, whereappropriate. In particular embodiments, storage 806 is non-volatile,solid-state memory. In particular embodiments, storage 806 includesread-only memory (ROM). Where appropriate, this ROM may bemask-programmed ROM, programmable ROM (PROM), erasable PROM (EPROM), orflash memory or a combination of two or more of these.

In particular embodiments, I/O interface 808 includes hardware,software, or both providing one or more interfaces for communicationbetween computer system 800 and one or more I/O devices. Computer system800 may include one or more of these I/O devices, where appropriate. Oneor more of these I/O devices may enable communication between a personand computer system 800. As an example and not by way of limitation, anI/O device may include a keyboard, microphone, display, touch screen,mouse, speaker, camera, another suitable I/O device or a combination oftwo or more of these. An I/O device may include one or more sensors.This disclosure contemplates any suitable I/O devices and any suitableI/O interfaces 808 for them. Where appropriate, I/O interface 808 mayinclude one or more device or software drivers enabling processor 802 todrive one or more of these I/O devices. I/O interface 808 may includeone or more I/O interfaces 808, where appropriate. Although thisdisclosure describes and illustrates a particular I/O interface, thisdisclosure contemplates any suitable I/O interface.

In particular embodiments, communication interface 810 includeshardware, software, or both providing one or more interfaces forcommunication (such as, for example, packet-based communication) betweencomputer system 800 and one or more other computer systems 800 or one ormore networks. As an example and not by way of limitation, communicationinterface 810 may include a network interface controller (NIC) forcommunicating with an Ethernet or other wire-based network or a wirelessNIC (WNIC) for communicating with a wireless network, such as a WI-FInetwork. This disclosure contemplates any suitable network and anysuitable communication interface 810 for it. As an example and not byway of limitation, computer system 800 may communicate with an ad hocnetwork, a personal area network (PAN), a local area network (LAN), awide area network (WAN), a metropolitan area network (MAN), or one ormore portions of the Internet or a combination of two or more of these.One or more portions of one or more of these networks may be wired orwireless. As an example, computer system 800 may communicate with awireless PAN (WPAN) (e.g., a BLUETOOTH WPAN), a WI-FI network (e.g., a802.11a/b/g/n WI-FI network,), a WI-MAX network, a cellular network(e.g., a Global System for Mobile Communications (GSM) network, a LongTerm Evolution (LTE) network), or other suitable wireless network or acombination of two or more of these.

In particular embodiments, bus 812 includes hardware, software, or bothcoupling components of computer system 800 to each other. As an exampleand not by way of limitation, bus 812 may include an AcceleratedGraphics Port (AGP) or other graphics bus, an Enhanced Industry StandardArchitecture (EISA) bus, a front-side bus (FSB), a HYPERTRANSPORT (HT)interconnect, an INFINIBAND interconnect, a low-pin-count (LPC) bus, amemory bus, a Peripheral Component Interconnect Express or PCI-Expressbus, a serial advanced technology attachment (SATA) bus, aInter-Integrated Circuit (I2C) bus, a Secure Digital (SD) memoryinterface, a Secure Digital Input Output (SDIO) interface, a UniversalSerial Bus (USB) bus, a General Purpose Input/Output (GPIO) bus, oranother suitable bus or a combination of two or more of these. Bus 812may include one or more buses 812, where appropriate.

The client-side functionality described above can be implemented as aseries of instructions stored on a computer-readable storage mediumthat, when executed, cause a programmable processor to implement theoperations described above. While the mobile device 122 may beimplemented in a variety of different hardware and computing systems,FIG. 9 shows a schematic representation of the main components of anexample computing platform of a client or mobile device, according tovarious particular embodiments. In particular embodiments, computingplatform 902 may comprise controller 904, memory 906, and input outputsubsystem 910. In particular embodiments, controller 904 which maycomprise one or more processors and/or one or more microcontrollersconfigured to execute instructions and to carry out operationsassociated with a computing platform. In various embodiments, controller904 may be implemented as a single-chip, multiple chips and/or otherelectrical components including one or more integrated circuits andprinted circuit boards. Controller 904 may optionally contain a cachememory unit for temporary local storage of instructions, data, orcomputer addresses. By way of example, using instructions retrieved frommemory, controller 904 may control the reception and manipulation ofinput and output data between components of computing platform 902. Byway of example, controller 904 may include one or more processors or oneor more controllers dedicated for certain processing tasks of computingplatform 902, for example, for 2D/3D graphics processing, imageprocessing, or video processing.

Controller 904 together with a suitable operating system may operate toexecute instructions in the form of computer code and produce and usedata. By way of example and not by way of limitation, the operatingsystem may be Windows-based, Mac-based, or Unix or Linux-based, orSymbian-based, among other suitable operating systems. The operatingsystem, other computer code and/or data may be physically stored withinmemory 906 that is operatively coupled to controller 904.

Memory 906 may encompass one or more storage media and generally providea place to store computer code (e.g., software and/or firmware) and datathat are used by computing platform 902. By way of example, memory 906may include various tangible computer-readable storage media includingRead-Only Memory (ROM) and/or Random-Access Memory (RAM). As is wellknown in the art, ROM acts to transfer data and instructionsuni-directionally to controller 904, and RAM is used typically totransfer data and instructions in a bi-directional manner. Memory 906may also include one or more fixed storage devices in the form of, byway of example, hard disk drives (HDDs), solid-state drives (SSDs),flash-memory cards (e.g., Secured Digital or SD cards), among othersuitable forms of memory coupled bi-directionally to controller 904.Information may also reside on one or more removable storage medialoaded into or installed in computing platform 902 when needed. By wayof example, any of a number of suitable memory cards (e.g., SD cards)may be loaded into computing platform 902 on a temporary or permanentbasis.

Input output subsystem 910 may comprise one or more input and outputdevices operably connected to controller 904. For example, input outputsubsystem may include keyboard, mouse, one or more buttons, and/or,display (e.g., liquid crystal display (LCD), or any other suitabledisplay technology). Generally, input devices are configured to transferdata, commands and responses from the outside world into computingplatform 902. The display is generally configured to display a graphicaluser interface (GUI) that provides an easy to use visual interfacebetween a user of the computing platform 902 and the operating system orapplication(s) running on the mobile device. Generally, the GUI presentsprograms, files and operational options with graphical images. Duringoperation, the user may select and activate various graphical imagesdisplayed on the display in order to initiate functions and tasksassociated therewith. Input output subsystem 910 may also include touchbased devices such as touch pad and touch screen. A touchpad is an inputdevice including a surface that detects touch-based inputs of users.Similarly, a touch screen is a display that detects the presence andlocation of user touch inputs. Input output system 910 may also includedual touch or multi-touch displays or touch pads that can identify thepresence, location and movement of more than one touch inputs, such astwo or three finger touches.

In particular embodiments, computing platform 902 may additionallycomprise audio subsystem 912, camera subsystem 912, wirelesscommunication subsystem 916, sensor subsystems 918, and/or wiredcommunication subsystem 920, operably connected to controller 904 tofacilitate various functions of computing platform 902. For example,Audio subsystem 912, including a speaker, a microphone, and a codecmodule configured to process audio signals, can be utilized tofacilitate voice-enabled functions, such as voice recognition, voicereplication, digital recording, and telephony functions. For example,camera subsystem 912, including an optical sensor (e.g., a chargedcoupled device (CCD), image sensor), can be utilized to facilitatecamera functions, such as recording photographs and video clips. Forexample, wired communication subsystem 920 can include a UniversalSerial Bus (USB) port for file transferring, or a Ethernet port forconnection to a local area network (LAN). Additionally, computingplatform 902 may be powered by power source 932.

Wireless communication subsystem 916 can be designed to operate over oneor more wireless networks, for example, a wireless PAN (WPAN) (e.g., aBLUETOOTH), a WI-FI network (e.g., an 802.11a/b/g/n network), a WI-MAXnetwork, a cellular network (such as, for example, a Global System forMobile Communications (GSM) network, a Long Term Evolution (LTE)network). Additionally, wireless communication subsystem 916 may includehosting protocols such that computing platform 902 may be configured asa base station for other wireless devices. Other input/output devicesmay include an accelerometer that can be used to detect the orientationof the device.

Sensor subsystems 918 may include one or more sensor devices to provideadditional input and facilitate multiple functionalities of computingplatform 902. For example, sensor subsystems 918 may include GPS sensorfor location positioning, altimeter for altitude positioning, motionsensor for determining orientation of a mobile device, light sensor forphotographing function with camera subsystem 914, temperature sensor formeasuring ambient temperature, and/or biometric sensor for securityapplication (e.g., fingerprint reader).

In particular embodiments, various components of computing platform 902may be operably connected together by one or more buses (includinghardware and/or software). As an example and not by way of limitation,the one or more buses may include an Accelerated Graphics Port (AGP) orother graphics bus, a front-side bus (FSB), a HYPERTRANSPORT (HT)interconnect, an Industry Standard Architecture (ISA) bus, an INFINIBANDinterconnect, a low-pin-count (LPC) bus, a memory bus, a PeripheralComponent Interconnect Express PCI-Express bus, a serial advancedtechnology attachment (SATA) bus, a Inter-Integrated Circuit (I2C) bus,a Secure Digital (SD) memory interface, a Secure Digital Input Output(SDIO) interface, a Universal Serial Bus (USB) bus, a General PurposeInput/Output (GPIO) bus, an Advanced Microcontroller Bus Architecture(AMBA) bus, or another suitable bus or a combination of two or more ofthese.

Herein, a computer-readable non-transitory storage medium or media mayinclude one or more semiconductor-based or other integrated circuits(ICs) (such, as for example, field-programmable gate arrays (FPGAs) orapplication-specific ICs (ASICs)), hard disk drives (HDDs), hybrid harddrives (HHDs), optical discs, optical disc drives (ODDs),magneto-optical discs, magneto-optical drives, floppy diskettes, floppydisk drives (FDDs), magnetic tapes, solid-state drives (SSDs),RAM-drives, SECURE DIGITAL cards or drives, any other suitablecomputer-readable non-transitory storage media, or any suitablecombination of two or more of these, where appropriate. Acomputer-readable non-transitory storage medium may be volatile,non-volatile, or a combination of volatile and non-volatile, whereappropriate.

Herein, “or” is inclusive and not exclusive, unless expressly indicatedotherwise or indicated otherwise by context. Therefore, herein, “A or B”means “A, B, or both,” unless expressly indicated otherwise or indicatedotherwise by context. Moreover, “and” is both joint and several, unlessexpressly indicated otherwise or indicated otherwise by context.Therefore, herein, “A and B” means “A and B, jointly or severally,”unless expressly indicated otherwise or indicated otherwise by context.

The scope of this disclosure encompasses all changes, substitutions,variations, alterations, and modifications to the example embodimentsdescribed or illustrated herein that a person having ordinary skill inthe art would comprehend. The scope of this disclosure is not limited tothe example embodiments described or illustrated herein. Moreover,although this disclosure describes and illustrates respectiveembodiments herein as including particular components, elements,functions, operations, or steps, any of these embodiments may includeany combination or permutation of any of the components, elements,functions, operations, or steps described or illustrated anywhere hereinthat a person having ordinary skill in the art would comprehend.Furthermore, reference in the appended claims to an apparatus or systemor a component of an apparatus or system being adapted to, arranged to,capable of, configured to, enabled to, operable to, or operative toperform a particular function encompasses that apparatus, system,component, whether or not it or that particular function is activated,turned on, or unlocked, as long as that apparatus, system, or componentis so adapted, arranged, capable, configured, enabled, operable, oroperative.

What is claimed is:
 1. A method comprising, by a server computingdevice: receiving a first message indicating a first notification modeof a mobile computing device of a user, wherein the received firstmessage comprises information from one or more sensors of the mobilecomputing device of the user, and wherein the first notification mode isdetermined locally on the mobile computing device based at least in parton the information from the one or more sensors of the mobile computingdevice of the user and a custom preference set by the user; determiningan activity of the user based at least in part on the information fromthe one or more sensors of the mobile computing device of the user;determining a second notification mode of the mobile computing devicebased on the determined activity of the user and the information fromthe one or more sensors of the mobile computing device of the user,wherein the second notification mode corresponds to the server computingdevice pushing notifications to the mobile computing device at a higherrate than the first notification mode; sending an instruction to themobile computing device to adjust a current notification mode of themobile computing device according to the second notification mode;determining an affinity score between the user and a sender of a secondmessage to be sent to the user, wherein the affinity score indicates alevel of interest of the user to the second message, wherein the levelof interest is based on at least a social affinity between the user andthe sender of the second message; determining, based at least in part onthe second notification mode of the mobile computing device, whether totransmit the second message to the mobile computing device by comparingthe affinity score of the second message to a threshold, wherein thethreshold is dynamically adjusted in real-time based on the secondnotification mode; and sending the second message in response to theaffinity score being higher than the threshold.
 2. The method of claim1, wherein the one or more sensors comprise one or more of: a lightsensor; a proximity sensor; a gyroscope; an accelerometer; an altimeter;a motion sensor; a temperature sensor; a biometric sensor; or a GPSsensor.
 3. The method of claim 1, wherein the activity of the user isdetermined based on motion of the mobile computing device, interactionof the user with the mobile computing device, or a location of themobile computer device, wherein the first notification mode is a nappingnotification mode, and wherein the second notification mode is a tricklenotification mode.
 4. The method of claim 3, wherein the activity of theuser is associated with a transition from driving, and wherein the oneor more sensors comprise an accelerometer, a GPS sensor, or a touchsensor.
 5. The method of claim 1, wherein the activity of the user isdetermined based on motion of the mobile computer device, anenvironmental parameter, or a location of the mobile computing device,and wherein the first notification mode is a sleep notification mode,and wherein the second notification mode is a napping notification mode.6. The method of claim 5, wherein the activity of the user is associatedwith a transition from sleeping, and wherein the one or more sensorscomprises a light sensor, a GPS sensor, or an accelerometer.
 7. Themethod of claim 1, wherein determining the first notification modecomprises determining the first notification mode based on one or moreoperating conditions of the mobile computing device.
 8. The method ofclaim 7, wherein the one or more operating conditions of the mobilecomputing device comprise a user interface mode of the mobile computingdevice.
 9. The method of claim 7, wherein the one or more operatingconditions of the mobile computing device comprise a power state of themobile computing device.
 10. The method of claim 7, wherein the one ormore operating conditions of the mobile computing device comprise aconnection of the mobile computing device to a wireless network.
 11. Themethod of claim 7, wherein the one or more operating conditions of themobile computing device comprise a time of day.
 12. The method of claim1, wherein the received first message comprises an identification of thefirst notification mode of the mobile computing device.
 13. The methodof claim 1, further comprising determining, based on the currentnotification mode of the mobile computing device, a radio connectionstate for the mobile computing device.
 14. The method of claim 1,wherein the affinity score is determined for each second message of aplurality of second messages to be sent to the computing device of theuser.
 15. The method of claim 14, wherein the affinity score of thesecond message is based at least in part on an urgency of the secondmessage.
 16. The method of claim 14, wherein the affinity score of thesecond message is based at least in part on a location of the mobilecomputing device.
 17. The method of claim 14, wherein the affinity scoreof the second message is based at least in part on a plurality ofweights provided by a process that requests the affinity score, andwherein the affinity score is tuned by the process using the pluralityof weights.
 18. One or more non-transitory computer-readable storagemedia embodying software that is operable when executed by a servercomputing device to: receive a first message indicating a firstnotification mode of a mobile computing device of a user, wherein thereceived first message comprises information from one or more sensors ofthe mobile computing device of the user, and wherein the firstnotification mode is determined locally on the mobile computing devicebased at least in part on the information from the one or more sensorsof the mobile computing device of the user and a custom preference setby the user; determine an activity of the user based at least in part onthe information from the one or more sensors of the mobile computingdevice of the user; determine a second notification mode of the mobilecomputing device based on the determined activity of the user and theinformation from the one or more sensors of the mobile computing deviceof the user, wherein the second notification mode corresponds to theserver computing device pushing notifications to the mobile computingdevice at a higher rate than the first notification mode; send aninstruction to the mobile computing device to adjust a currentnotification mode of the mobile computing device according to the secondnotification mode; determine an affinity score between the user and asender of a second message to be sent to the user, wherein the affinityscore indicates a level of interest of the user to the second message,wherein the level of interest is based on at least a social affinitybetween the user and the sender of the second message; determine, basedat least in part on the second notification mode of the mobile computingdevice, whether to transmit the second message to the mobile computingdevice by comparing the affinity score of the second message to athreshold, wherein the threshold is dynamically adjusted in real-timebased on the second notification mode; and send the second message inresponse to the affinity score being higher than the threshold.
 19. Aserver computing device comprising: one or more non-transitorycomputer-readable storage media embodying instructions; one or moreprocessors coupled to the storage media and operable to execute theinstructions to: receive a first message indicating a first notificationmode of a mobile computing device of a user, wherein the received firstmessage comprises information from one or more sensors of the mobilecomputing device of the user, and wherein the first notification mode isdetermined locally on the mobile computing device based at least in parton the information from the one or more sensors of the mobile computingdevice of the user and a custom preference set by the user; determine anactivity of the user based at least in part on the information from theone or more sensors of the mobile computing device of the user;determine a second notification mode of the mobile computing devicebased on the determined activity of the user and the information fromthe one or more sensors of the mobile computing device of the user,wherein the second notification mode corresponds to the server computingdevice pushing notifications to the mobile computing device at a higherrate than the first notification mode; send an instruction to the mobilecomputing device to adjust a current notification mode of the mobilecomputing device according to the second notification mode; determine anaffinity score between the user and a sender of a second message to besent to the user, wherein the affinity score indicates a level ofinterest of the user to the second message, wherein the level ofinterest is based on at least a social affinity between the user and thesender of the second message; determine, based at least in part on thesecond notification mode of the mobile computing device, whether totransmit the second message to the mobile computing device by comparingthe affinity score of the second message to a threshold, wherein thethreshold is dynamically adjusted in real-time based on the secondnotification mode; and send the second message in response to theaffinity score being higher than the threshold.
 20. The method of claim1, further comprising: in response to the affinity score being lowerthan or equal to the threshold, blocking the second message from beingsent to the mobile computing device of the user.
 21. The method of claim20, further comprising: sending the second message to the mobilecomputing system of the user at a later time when the server computingdevice sends a high-affinity message to the mobile computing device ofthe user.
 22. The method of claim 20, further comprising: sending thesecond message to the mobile computing system of the user at a latertime when the server computing device receives a real-time message fromthe mobile computing device of the user.